Data Engineer

You will join the Data Engineering Competence area within AI (Artificial Intelligence), Analytics & Data Domain, and be an individual contributor in one of the data product teams. The area supports all our brands globally to create, structure, guard, and ensure data is available, understandable,e and of high quality.

Responsibilities:

• Take end-to-end responsibility to build, optimize, and support existing and new data products toward the defined target vision
• Be a champion of DevOps mindset and principles and able to manage CI/CD pipelines and terraform as well as Cloud infrastructure, in our context, it is GCP (Google Cloud Platform).
• Ensure that our built data products work as independent units of deployment and that non-functional aspects of the data products follow the defined standards for security, scalability, observability, and performance.
• Work closely with the Product Manager and other stakeholders around the vision for existing data products and identifying new data products to support our customer needs
• Work with product teams within and outside our domain around topics that relate to the data mesh concept.
• Evaluate and drive continuous improvement and reduce technical debt in the teams
• Maintain expertise in the latest data/analytics and cloud technologies

Qualifications

• Passion for Data, people, and technology
• At least 4+ years' hands-on work experience as a Data engineer on GCP/modern cloud data platforms, or advanced analytics environments.
• Experience in cloud technologies and infrastructure
• Experience in GCP tools – DBT and Bigquery
• Experience in different data formats (Parquet, Avro)
• Experience in data query languages (SQL or similar)
• Experience in data-centric programming using one or more programming languages (Python, Java, or Scala)
• Good understanding of different data modeling techniques and trade-offs
• Knowledge of NoSQL and RDBMS databases